Data & AI Product Delivery Manager

Cencora•Conshohocken, PA

About The Position

The Data & AI Product Delivery Manager, Senior is the execution leader for one or more cross-functional Data & AI product teams and reports to the Senior Director Data & AI Product Operations. The role ensures delivery flow, risk management, and outcome-aligned execution, applying the product operating model so product development flows efficiently from discovery through delivery. By aligning teams and resources, the Delivery Manager translates Data & AI product management priorities into actionable plans and helps teams deliver targeted business value. Execution is connected to product-management outcomes so teams solve the right problems in the right way and at the right time. The role leads end-to-end delivery, supports discovery and validation, facilitates collaboration and stakeholder communications, and coordinates release logistics. It also tracks team progress and reports on outcomes using delivery metrics and analytics. The position supports product leadership in meeting security, privacy, audit, and data governance requirements, while fostering a psychologically safe, high-performing team culture.

Requirements

At least 3 years in delivery management, program management, agile leadership, or similar roles within data or analytics.
Bachelor’s degree or an equivalent combination of relevant education and experience.
Proven success delivering complex data products.
Strong agile, lean, and flow-based delivery expertise.
Strong communication, facilitation, and stakeholder management skills.
Familiarity with data engineering, cloud platforms, and AI delivery.
Knowledge of the Product Operating Model, a bias for action, and a passion for building products customers love that work for the business.

Nice To Haves

Experience with ADO, Jira, Confluence, and other agile project management and collaboration tools is highly desirable.
Proficiency in Spanish is preferred.

Responsibilities

Lead end-to-end delivery execution and ensure predictable, high-quality delivery.
Use lean, agile, and flow-based practices to improve throughput and reduce cycle time.
Coordinate planning, agile ceremonies, discovery-to-delivery handoffs, sprint cadence, and retrospectives.
Collaborate with the product team to create and refine user stories, acceptance criteria, and use cases that articulate customer value and expected outcomes.
Hold product team members accountable for deliverables; identify risks, dependencies, and constraints; and ensure they are resolved.
Coordinate with Commercialization and broader Enterprise Data, Analytics, and AI teams to meet product delivery timelines.
Partner with the product team to prioritize work in alignment with strategy, outcomes, value, and delivery commitments.
Support product leadership in ensuring products meet security, privacy, audit, and data governance requirements.
Support Product Managers by facilitating discovery sessions, cross-functional workshops, and ongoing stakeholder communications.
Support the product team in dual-track discovery and early validation of assumptions.
Coordinate logistics for product and feature release management processes.
Track product team progress on goals, OKRs, and success indicators.
Provide outcome-focused reporting using delivery metrics and analytics.
Foster team culture, psychological safety, and high performance.
Perform related duties as assigned.